Computationally Efficient Waveform Optimization for MIMO Radar Space Time Adaptive Processing

被引：0
|
作者：
Tang, Bo [1 ]
Zhang, Yu [1 ]
Tang, Jun [2 ]
机构：
[1] Elect Engn Inst, Lab 504, Hefei 230037, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR) | 2016年
关键词：
MIMO radar; STAP; waveform design; efficient optimization method; interference suppression; COLORED NOISE; DESIGN; CLUTTER;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Multiple-input-multiple-output (MIMO) space time adaptive processing (STAP) have shown great potentials in enhancing the detection performance of low-velocity targets. This paper focuses on the waveform design problem for MIMO STAP. In view of the prohibitive computational complexity of the existing waveform design algorithm, we resort to the idea of cyclic optimization to iteratively design the waveforms. Owing to the significantly reduced complexity at each iteration, the proposed algorithm is much more efficient than the existing algorithm. We provide several numerical examples to demonstrate the effectiveness of the proposed algorithm.
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页数：5
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